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Written by three of the leading experts in the field, this ready reference and handbook is the first to be devoted to illustrating the application of latent structures-based methods to batch processes. Clearly structured into four sections, the first acts an introduction to the literature, while the second goes on to treat the general features of batch process data and analysis with LSB methods. The development of a multivariate statistical process control system based on LSB methods for a batch process is addressed in the third section, and the whole is rounded off with a look at other applications of LSB in batch processes. With its exercises, case studies and free software downloadable from the Internet, this is of great interest to beginners and specialists alike.

Batch Processes - Monitoring and Process Understanding - Latent Structure Based Methods

INTRODUCTION State of the Art Two-way latent structures-based models MODELLING OF BATCH PROCESSES WITH 2-WAY MODELS Modelling of Batch Process data Cross-validation algorithms Multi-Phase Analysis Framework MULTIVARIATE STATISTICAL PROCESS CONTROL OF BATCH PROCESSES Statistical Process Control in Continuous Processes Analysis of historical data in batch processes (Phase I) On-line Monitoring of batch processes (Phase II) OTHER APPLICATIONS OF LVB METHODS TO BATCH PROCESSES Soft-sensors in batch processes Optimization of batch processes